@InProceedings{JacquesJrMuss:2015:ImHeHu,
author = "Jacques Junior, Julio Cezar Silveira and Musse, Soraia Raupp",
affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio Grande do
Sul} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio
Grande do Sul}",
title = "Improved head-shoulder human contour estimation through clusters
of learned shape models",
booktitle = "Proceedings...",
year = "2015",
editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim,
Ricardo Guerra and Farrell, Ryan",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "human head-shoulder estimation, omega-shaped region, human
segmentation.",
abstract = "In this paper we propose a clustering-based learning approach to
improve an existing model for human head-shoulder contour
estimation. The contour estimation is guided by a learned
head-shoulder shape model, initialized automatically by a face
detector. A dataset with labeled data is used to create the
headshoulder shape model and to quantitatively analyze the
results. In the proposed approach, geometric features are firstly
extracted from the learning dataset. Then, the number of shape
models to be learned is obtained by an unsupervised clustering
algorithm. In the segmentation stage, different graphs with an
omega-like shape are built around the detected face, related to
each learned shape model. A path with maximal cost, related to
each graph, defines a initial estimative of the head-shoulder
contour. The final estimation is given by the path with maximum
average energy. Experimental results indicate that the proposed
technique outperformed the original model, which is based on a
single shape model, learned in a more simple way. In addition, it
achieved comparable accuracy to other state-of-the-art models.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.17",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.17",
language = "en",
ibi = "8JMKD3MGPBW34M/3JMP57H",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JMP57H",
targetfile = "sib2015-camera-ready-pdf-express.pdf",
urlaccessdate = "2024, Apr. 29"
}